Acne Vulgaris in Jeddah Medical Students: Prevalence, Severity, Self-Report, and Treatment Practices
Bibliographic record
Abstract
Acne is a common skin disorder of teenagers and continues into adulthood. Research has been limited regarding acne prevalence, perception and health care utilization in Saudi Arabia. The objective of this study was to assess acne prevalence in final year female medical students in Jeddah, Saudi Arabia using the global acne grading system (GAGS) compared with student’s self-report of their acne. This is a cross-sectional study conducted among 151 students during 2016, in which students were interviewed subjectively and examined objectively by a trained physician. This study showed that acne was reported subjectively by 83.4% of female students compared to 98% of students assessed objectively by the global acne grading system. 14.6% of students claimed having no acne while it was objectively present, which was statistically significant (Χ2 = 15.4, P 2 months in 39.1% of students. Acne was present in 41.1% of the students parents compared to 83.4% in their siblings. A total of 41.7% of student had trunk acne. 60.9% of students had scarring and 72.8% of them had pigmentation. Moderate to severe acne students had higher siblings acne history of 95.2% (Χ2 = 5.85, P 2 = 4.05, P 2 = 4.87, P < 0.05) which was statistically significant. Our study confirms that acne is very common in female medical students in Jeddah, Saudi Arabia with a prevalence rate of 98%. Knowledge regarding acne treatment was inadequate demonstrating the need for educational and awareness programs about early treatment that will prevent suffering from acne scarring or pigmentation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".